There is a misconception that construction estimating is primarily a numbers exercise. In reality, one of the most demanding parts of estimating happens before the numbers are calculated: making sense of the information. Construction projects rarely arrive in a consistent format. A single estimate may require information from architectural drawings, civil plans, landscape documentation, structural drawings, geotechnical reports, specifications, BOQs and supplier quotations. Each source can be structured differently. Quantities may be presented in different formats. Descriptions may vary. Revisions can introduce inconsistencies. Important information may sit outside the BOQ entirely. The estimator is then responsible for bringing all of that information together and turning it into a reliable commercial outcome. This is where we saw an opportunity. Rather than adapting our estimating process to the limitations of existing systems, we started asking a different question: What would an estimating platform look like if it were designed around the way construction estimators actually work? That question has led us to develop our own estimating software. The objective is not simply to automate calculations. It is to reduce the repetitive work involved in structuring BOQs, organising project information, comparing supplier pricing, identifying inconsistencies and maintaining visibility throughout the estimating process. Most importantly, the system is being designed to support professional judgement, not replace it. An experienced estimator does more than identify a quantity or calculate a rate. They question assumptions, recognise anomalies, understand the relationship between different project documents and assess the commercial risks that numbers alone cannot explain. That distinction matters. Technology can process information quickly. Good estimating still requires people who know what the information means. We are still developing and refining the system, testing it against the complexity and inconsistency of real construction documentation.

Three things here changed recently. One system was decommissioned in 2023 and people still refer to it. One framework has a stated retirement path. One policy's eligibility rules shifted on 1 July this year. And one of them takes months to obtain, which is the part that catches people out. Save it, and check anything you were told more than a year ago. Which acronym caught you out first? Comment below. #DefenceConstruction #AustralianDefence #DefenceIndustry #Tendering #VisionexSolutions #DefenceGlossary #Procurement #GovernmentTenders

Almost everyone watching the Defence estate is watching what gets built. Meanwhile 58 properties are being divested, 46 owned and 12 leased, across every state and territory, led by the Department of Finance. It came out of the independent Defence Estate Audit, which identified 68 sites. 🔧 The construction angle sits in what has to happen before a sale. The audit estimated roughly $1.2 billion AUD in upfront costs covering staff relocation, contamination remediation, heritage obligations and administration, with net proceeds that could potentially reach around $1.8 billion AUD. What the audit says is on these sites: hydrocarbons, asbestos, lead, PFAS, PCBs, heavy metals, and Defence-specific hazards including unexploded ordnance and explosives residues. Finance's Guide to Commonwealth Property Disposals sets out how contamination gets handled. At minimum, a search of the relevant Environment Protection Authority register. An environmental consultant may then be engaged for a phase 1 non-intrusive examination, or a more detailed phase 2 intrusive assessment with bore holes and soil samples laboratory tested. Separately, a building condition report draws on hazardous material and chemical registers, plus electrical, hydraulic, lift and fire compliance testing. That is a recognisable list of services. If your business does any of it, this program is in your lane. ⏳ The decision point. Where contamination is present it must at minimum be disclosed to buyers, and a decision will need to be made whether remediation occurs prior to sale. The guidance also says the disposal strategy should address whether additional funding is likely to be required to conduct the disposal, such as funding to complete remediation works. So per site, someone documents whether remediation gets funded before sale or the contamination transfers to the buyer with disclosure. Finance has appointed a Strategic Industry Partner to run due diligence and build site-specific divestment strategies, and says timeframes get set after that phase completes. Those calls are being made now.

The DTA's AI transparency statement discloses a structured AI-assisted evaluation model introduced for the Digital Marketplace Panel 2 evaluation process, classified as assessing and making recommendations on submitted applications to a human decision maker. Stated rationale: consistency, common criteria, less scope for bias. 📋 Be precise when you brief this to clients. It is a disclosure, not a report on outcomes, the statement dates from December 2025, and DMP2 is an ICT panel rather than construction. The point is direction of travel. 🗂️ The part you can use immediately. The policy has required agencies to publish a transparency statement on their approach to AI since its first version in 2024. The December 2025 update went further. Each AI use case now needs a named accountable officer, an entry in an internal register, and an impact assessment before deployment. The DTA maintains a single page linking to all published statements. 👉 https://www.digital.gov.au/policy/ai/list-of-transparency-statements Three things to do with that link: 1️⃣ Add a register check to your bid kickoff checklist for any Commonwealth submission. Five minutes, before you scope the response. 2️⃣ Note that defence is exempt, but DHA, the Defence and Veterans Service Commission and DVA publish voluntarily. Infrastructure Australia and NAIF too. 3️⃣ Review your standard response structure. If the first read is machine-assisted, buried evidence and criteria-mismatched headings cost you more than they used to. 💬 Two questions for the room. Has anyone seen a tender ask whether AI was used to prepare the submission? And has anyone checked an agency's transparency statement before bidding? Genuinely curious whether this is already practice.